Statistical Methods for Research Workers
E212224
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Statistical Methods for Research Workers canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1908303 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Statistical Methods for Research Workers Context triple: [Ronald A. Fisher, notableWork, Statistical Methods for Research Workers]
-
A.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
-
B.
A Treatise on Probability
A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
-
C.
Laplace law of error
The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
-
D.
The Methodology of the Social Sciences
The Methodology of the Social Sciences is a foundational work by Max Weber that articulates his influential theories on social science methodology, including concepts like ideal types, value neutrality, and the interpretive understanding of social action.
-
E.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Statistical Methods for Research Workers Target entity description: Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
-
A.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
-
B.
A Treatise on Probability
A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
-
C.
Laplace law of error
The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
-
D.
The Methodology of the Social Sciences
The Methodology of the Social Sciences is a foundational work by Max Weber that articulates his influential theories on social science methodology, including concepts like ideal types, value neutrality, and the interpretive understanding of social action.
-
E.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
academic book
ⓘ
non-fiction book ⓘ statistics textbook ⓘ |
| author | Ronald A. Fisher ⓘ |
| containsConcept |
analysis of variance
ⓘ
chi-squared tests ⓘ correlation and regression ⓘ maximum likelihood estimation ⓘ null hypothesis significance testing ⓘ p-value ⓘ small-sample theory ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| describedAs |
classic text in statistical methodology
ⓘ
foundational work in modern statistics ⓘ |
| field |
agricultural statistics
ⓘ
biostatistics ⓘ mathematics ⓘ |
| genre | scientific literature ⓘ |
| hasEdition |
fifth edition
ⓘ
fourth edition ⓘ later revised editions ⓘ second edition ⓘ third edition ⓘ |
| influenced |
analysis of variance practice
ⓘ
biostatistics education ⓘ experimental design in the natural sciences ⓘ modern statistical theory ⓘ |
| influencedBy |
Francis Galton
ⓘ
Karl Pearson ⓘ |
| intendedAudience |
agricultural researchers
ⓘ
biologists ⓘ research scientists ⓘ statisticians ⓘ |
| language | English ⓘ |
| notableFor |
formalizing analysis of variance (ANOVA)
ⓘ
introducing Fisherian statistical methods to applied scientists ⓘ popularizing significance testing ⓘ shaping 20th-century statistical practice ⓘ |
| publicationYear | 1925 ⓘ |
| publisher | Oliver and Boyd ⓘ |
| subject |
biometry
ⓘ
experimental design ⓘ statistical inference ⓘ statistics ⓘ |
| timePeriod | early 20th century ⓘ |
| usedIn |
agricultural field trials
ⓘ
biological research ⓘ experimental data analysis ⓘ scientific research ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Statistical Methods for Research Workers Description of subject: Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.